New Ways of Mapping Knowledge Organization Systems. Using a Semi­Automatic Matching­Procedure for Building Up Vocabulary Crosswalks

<p>Abstract: Crosswalks between different vocabularies are an indispensable prerequisite for&nbsp;integrated and high&shy;quality search scenarios in distributed data environments. Offered through&nbsp;the web and linked with each other they act as a central link so that users could move back and&nbsp;forth between different data sources being online available.<br> In the past, crosswalks between different thesauri have been primarily developed manually. In&nbsp;the long run the intellectual updating of such crosswalks requires huge personnel expenses.&nbsp;Therefore, an integration of automatic matching procedures, as for example Ontology Matching&nbsp;Tools, seems pretty obvious.<br> On the basis of computer&shy;generated correspondences between the Thesaurus for&nbsp;Economics (STW) and the Thesaurus for the Social Sciences (TheSoz) our contribution will&nbsp;explore cross&shy;border approaches between IT&shy;assisted tools and procedures on the one hand<br> and external quality measurements via domain experts on the other hand. Thus, we will present&nbsp;techniques to semi&shy;automatically perform vocabulary crosswalks. Due to intellectually evaluated&nbsp;results of multiple matching tools in the forerun, quality statements concerning the reliability of&nbsp;further computer&shy;generated crosswalks can be made. This way, the application of various tools&nbsp;and procedures gradually contributes to an increase in quality. Moreover, on the long&shy;term it&nbsp;facilitates a continuous update of high&shy;quality vocabulary crosswalks.</p>